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Record W1968363105 · doi:10.1021/ac202730d

Structural Interrogation of Electrosprayed Peptide Ions by Gas-Phase H/D Exchange and Electron Capture Dissociation Mass Spectrometry

2011· article· en· W1968363105 on OpenAlexaff
Jingxi Pan, Brittany L. Heath, Rebecca A. Jockusch, Lars Konermann

Bibliographic record

VenueAnalytical Chemistry · 2011
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsUniversity of TorontoWestern University
Fundersnot available
KeywordsChemistryElectron-capture dissociationHydrogen–deuterium exchangeMass spectrometryDissociation (chemistry)IonGas phaseTandem mass spectrometryPeptideAmideHydrogenDeuteriumElectron-transfer dissociationElectron ionizationAnalytical Chemistry (journal)ChromatographyPhysical chemistryOrganic chemistryIonizationAtomic physics

Abstract

fetched live from OpenAlex

The structural characterization of gaseous biomolecular ions remains a challenging task. Here, we employ a combination of gas-phase hydrogen-deuterium exchange (HDX) and electron capture dissociation (ECD) mass spectrometry for gaining insights into the properties of two electrosprayed peptides: RA(9)K and RG(9)K. Mass analysis of ECD fragments provides spatially resolved labeling information. ND(3)-mediated HDX at peptide termini and amino acid side chains goes to completion within 1 s. Backbone amide labeling occurs more slowly, and proceeds in a structurally sensitive fashion. HDX is more extensive for RG(9)K than for RA(9)K, suggesting a more "open" conformation for the former. Residues 7-10 in RA(9)K are strongly protected, which indicates the presence of stable backbone hydrogen bonds at these sites. Our findings are consistent with the results of previous ion mobility measurements and computational investigations. Overall, it appears that the combination of gas-phase HDX and ECD represents a viable approach for uncovering structural features of biomolecular ions in the gas phase.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.273
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations41
Published2011
Admission routes1
Has abstractyes

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